从UGC到精细化运营：基于电商评论挖掘的付费自习室关键属性识别与优化策略

From UGC to Refined Operations: Key Attribute Identification and Optimization Strategies for Paid Study Rooms Based on E-Commerce Review Mining

摘要: 本研究针对付费自习室行业在O2O模式下面临的同质化竞争与效率挑战，构建了从UGC挖掘到运营决策的分析框架。通过采集平台评论数据，综合运用LDA、情感分析与IPA方法，识别并量化了环境、设施、服务、位置与体验五大核心属性。研究发现，“环境”是当前核心优势，“设施”为关键短板与改进优先项。基于此，依据4P理论提出了包含产品优化、分层定价、渠道融合及社群运营的数据驱动策略，为付费自习室从“流量运营”转向“价值运营”提供了实证路径与方法论参考。

Abstract: This study addresses the homogeneous competition and efficiency challenges faced by the paid study room industry under the O2O model, constructing an analytical framework from UGC mining to operational decision-making. By collecting platform review data and comprehensively utilizing LDA, sentiment analysis, and IPA methods, five core attributes—environment, facilities, services, location, and experience—were identified and quantified. The study found that “environment” is the current core advantage, while “facilities” is a key weakness and a priority for improvement. Based on this, and using the 4P theory, a data-driven strategy encompassing product optimization, tiered pricing, channel integration, and community operation is proposed, providing an empirical path and methodological reference for paid study rooms to shift from “traffic operation” to “value operation”.